Description

　　The Rapid and Rural Logistics (R2L) org is seeking an exemplary Business Intelligence Engineer with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement.

　　The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics.

　　We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

　　Responsibilities include but not limited to:

　　Define and develop business critical metrics and reports across all business levers, key performance indicators, and financials.

　　Own key executive reports and metrics that are consumed by Amazon leadership

　　Provide thought leadership in business deep dives

　　Work closely with R2L Operations leadership to help them meet their objectives

　　Perform exploratory data analysis to identify trends, patterns, correlations, and insights and present written business recommendations to the leadership in a clear and compelling way

　　Analyze and solve business problems at their root, stepping back to understand the broader context

　　We are open to hiring candidates to work out of one of the following locations:

　　Bellevue, WA, USA

　　Basic Qualifications

　　Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

　　3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

　　Experience with data visualization using Tableau, Quicksight, or similar tools

　　Experience with data modeling, warehousing and building ETL pipelines

　　Experience writing complex SQL queries

　　Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

　　Experience with forecasting and statistical analysis

　　Experience in Statistical Analysis packages such as R, SAS and Matlab

　　Preferred Qualifications

　　Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

　　5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

　　Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

　　Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

　　Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.